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• W4386983148 abstract "The field of natural language processing (NLP) is being increasingly applied to the realm of healthcare. This abstract delves into the intersection of health care and NLP, highlighting how this technology is being used to enhance various aspects of the healthcare industry. From analyzing medical records and extracting relevant information to aiding in diagnosis and treatment recommendations, NLP is playing a pivotal role in transforming how healthcare professionals interact with data and make informed decisions. This abstract provides an overview of the key applications and benefits of employing NLP in healthcare, showcasing its potential to improve patient outcomes and streamline medical processes. This research seeks to harness the power of advanced computational linguistics to revolutionize various aspects of the healthcare industry. By enabling computers to understand and interpret human language, NLP has the potential to drive transformative changes NLP-powered systems can analyze vast amounts of medical literature, patient records, and research findings to provide healthcare practitioners with timely and relevant information. This assists in making well-informed decisions regarding diagnoses, treatment plans, and prognoses. NLP techniques facilitate the extraction of pertinent information from unstructured medical records, including patient histories and doctor's notes. This structured data can then be used for research, trend analysis, and epidemiological studies, contributing to evidence-based medicine. Versatile with unique alternatives a new method for optimization is proposed MOORA. This method is objective denotes the matrix of responses of the alternatives, however, proposing better policies, which rates are used. Well established. Multi-objective another method for optimization is used for comparison, reference point method. Then, various competitions this proved to be the best choice among the methods. From the result BC2GM is in 1st rank whereas BC5- Disease is in lowest rank." @default.
• W4386983148 created "2023-09-24" @default.
• W4386983148 date "2023-03-05" @default.
• W4386983148 modified "2023-10-03" @default.
• W4386983148 title "Health Care Natural Language Processing (NLP) Using MOORA Method" @default.
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• W4386983148 doi "https://doi.org/10.46632/cset/1/1/2" @default.
• W4386983148 hasPublicationYear "2023" @default.
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